Triple

T498585
Position Surface form Disambiguated ID Type / Status
Subject North China E10349 entity
Predicate containsMajorCity P316 FINISHED
Object Jinan
Jinan is the capital city of Shandong Province in eastern China, known for its numerous natural springs and rich historical and cultural heritage.
 E80751 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jinan | Statement: [North China, containsMajorCity, Jinan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jinan
Context triple: [North China, containsMajorCity, Jinan]
  • A. Taierzhuang
    Taierzhuang is a historic town in eastern China’s Shandong province, best known as the site of a major Chinese victory over Japanese forces during the Second Sino-Japanese War.
  • B. Taiyuan
    Taiyuan is the capital and largest city of Shanxi Province in northern China, known as an important industrial and transportation hub with a long imperial history.
  • C. Tianjin
    Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
  • D. Anyang
    Anyang is an ancient city in northern China renowned as one of the historical capitals of the Shang dynasty and a major archaeological site.
  • E. Shenyang
    Shenyang is a major industrial and historical city in northeastern China and the capital of Liaoning Province.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jinan
Triple: [North China, containsMajorCity, Jinan]
Generated description
Jinan is the capital city of Shandong Province in eastern China, known for its numerous natural springs and rich historical and cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jinan
Target entity description: Jinan is the capital city of Shandong Province in eastern China, known for its numerous natural springs and rich historical and cultural heritage.
  • A. Taierzhuang
    Taierzhuang is a historic town in eastern China’s Shandong province, best known as the site of a major Chinese victory over Japanese forces during the Second Sino-Japanese War.
  • B. Taiyuan
    Taiyuan is the capital and largest city of Shanxi Province in northern China, known as an important industrial and transportation hub with a long imperial history.
  • C. Tianjin
    Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
  • D. Anyang
    Anyang is an ancient city in northern China renowned as one of the historical capitals of the Shang dynasty and a major archaeological site.
  • E. Shenyang
    Shenyang is a major industrial and historical city in northeastern China and the capital of Liaoning Province.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1183e988190bce70932a9678134 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a57b51a58481909d8e602b3fe3c68c completed March 2, 2026, 11:58 a.m.
NEDg Description generation batch_69a57dbe4aa88190ad6d185f8151f85b completed March 2, 2026, 12:08 p.m.
NED2 Entity disambiguation (via description) batch_69a57e3b4d448190bd7f4a6249b7e3a1 completed March 2, 2026, 12:10 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.